Results 1 to 10 of about 48,641,506 (238)
Geographic Object-Based Image Analysis - Towards a new paradigm. [PDF]
The amount of scientific literature on (Geographic) Object-based Image Analysis – GEOBIA has been and still is sharply increasing. These approaches to analysing imagery have antecedents in earlier research on image segmentation and use GIS-like spatial ...
Blaschke T +10 more
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Geographic Object-Based Image Analysis: A Primer and Future Directions
Geographic object-based image analysis (GEOBIA) is a remote sensing image analysis paradigm that defines and examines image-objects: groups of neighboring pixels that represent real-world geographic objects.
Maja Kucharczyk +3 more
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Developing an integrated approach based on geographic object-based image analysis and convolutional neural network for volcanic and glacial landforms mapping [PDF]
Rapid detection and mapping of landforms are crucially important to improve our understanding of past and presently active processes across the earth, especially, in complex and dynamic volcanoes.
Mohammad Kazemi Garajeh +4 more
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Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities
Over the last two decades (since ca. 2000), Geographic Object-Based Image Analysis (GEOBIA) has emerged as a new paradigm to analyzing high-spatial resolution remote-sensing imagery. During this time, research interests have demonstrated a shift from the
Gang Chen +3 more
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According to existing literature and despite their commercial success, state-of-the-art two-stage non-iterative geographic object-based image analysis (GEOBIA) systems and three-stage iterative geographic object-oriented image analysis (GEOOIA) systems ...
Andrea Baraldi, Luigi Boschetti
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Advancements in remote sensing have led to the development of Geographic Object-Based Image Analysis (GEOBIA). This method of information extraction focuses on segregating correlated pixels into groups for easier classification.
Shridhar D. Jawak +3 more
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Land cover Classified maps obtained from deep learning methods such as Convolutional neural networks (CNNs) and fully convolutional networks (FCNs) usually have high classification accuracy but with the detailed structures of objects lost or smoothed. In
Nicholus Mboga +5 more
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This research presents a time-effective approach for mapping streambed and riparian zone extent from high spatial resolution LiDAR derived products, i.e., digital terrain model, terrain slope and plant projective cover.
Stuart Phinn +4 more
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According to literature and despite their commercial success, state-of-the-art two-stage non-iterative geographic object-based image analysis (GEOBIA) systems and three-stage iterative geographic object-oriented image analysis (GEOOIA) systems, where ...
Luigi Boschetti, Andrea Baraldi
doaj +3 more sources
Tree crown mapping in managed woodlands (parklands) of semi-arid West Africa using WorldView-2 imagery and geographic object based image analysis. [PDF]
Karlson M, Reese H, Ostwald M.
europepmc +2 more sources

